Lucas C. Parra

This study investigates factors driving intersubject correlation (ISC) in EEG during auditory narratives, finding that acoustic features mainly drive ISC, while linguistic features like word surprisal contribute under active engagement.

The paper shows semantic novelty during visual fixations modulates neural activity in primate cortex, using EEG and intracranial recordings.

The paper introduces a multimodal dataset capturing brain and body responses during educational videos, revealing effects like increased alpha power and decreased saccade rate in distracted conditions.

This study investigates brain-body dynamics across cognitive states and finds they are stable, with strong bottom-up feedback and narrative entrainment.

The paper uses AI to analyze clinical interviews of youths with ADHD and ASD, finding distinct behavioral features that differentiate the conditions despite overlapping traits.

This study shows that momentary attention during video learning predicts test performance better than trait inattention, highlighting the role of instructional format in learning.

The paper applies a VARX model to intracranial recordings to separate intrinsic brain dynamics from external stimuli, finding that intrinsic dynamics enhance and prolong neural responses to sensory inputs.

This study shows that repeated anodal tDCS at 2 V/m during motor training in rats improves motor learning, especially in right-pawed animals, without affecting MEPs.

This study shows that clinically relevant electric fields modulate neuronal firing rates in rats, with excitatory neurons showing polarity-specific responses.

The paper introduces an open-access dataset combining EEG and fMRI data from naturalistic viewing tasks to study brain function and preprocessing methods.

This study develops a word-detection paradigm to independently assess speech intelligibility via EEG speech tracking and listening effort via pupil size, showing that these measures respond differently to signal-to-noise ratio and reward.

The paper examines how semantic novelty modulates neural responses to visual changes like film cuts and saccades across the human brain using intracranial recordings.

The paper shows that saccades modulate excitability in auditory cortical areas during natural viewing, similar to visual areas, suggesting a role in improving information processing.

The paper shows that listening to stories affects both brain activity and physiological signals, with bidirectional interactions between the body and mind.

This study shows that 4mA tDCS improves motor sequence learning with lasting effects and better tolerability than previous methods.

The paper develops a deep learning model to detect hydrocephalus requiring treatment from MRI scans, achieving performance comparable to neuroradiologists.

This study shows that inter-subject correlation occurs in neural, physiological, and behavioral signals during shared cognitive processing, but not in all signals, and is influenced by attentional state and information recall.

The paper examines neural responses to natural visual motion in a kart race video game, finding spatial selectivity in neural activity that extends beyond overt attention and varies across brain areas.

The paper investigates neural processing during saccades in a virtual environment, finding that pre-saccadic visual stimuli continue to influence neural responses throughout the saccade.

This study shows that heart rate synchronization between individuals occurs during conscious processing of narrative stimuli and is reduced when attention is distracted.

This paper shows that synchronized eye movements during online video education predict individual test scores and replicates across different video styles and learning scenarios.

This study shows temporal interference stimulation selectively targets deep brain regions by modulating neural oscillations through network adaptation and membrane time-constants.

The paper investigates whether visual evoked responses are enhanced during motor tasks, finding no difference between active and sham play but reduced correlation during passive viewing.

This study shows that tDCS applied to the prefrontal cortex improves behavior and EEG markers of consciousness in some DoC patients.

This study shows that direct current stimulation enhances Hebbian plasticity in rat hippocampus by modulating synaptic strength through depolarization.

The paper examines the reliability and correlation of fMRI, ECoG, and EEG responses to natural stimuli across different brain regions and cohorts.

This paper reviews multiway canonical correlation analysis (MCCA) for fusing brain signals across subjects to extract common components, with examples and discussion of its limitations.

The paper shows that neural engagement measured by EEG during educational videos predicts learning performance and distinguishes attentive from inattentive viewing.

The paper investigates how age and sex affect neural response variability to naturalistic videos in a large developmental sample, finding increased variability with age and sex differences in young participants.

The paper introduces the Healthy Brain Network (HBN) biobank, a large-scale multimodal dataset for pediatric mental health and learning disorders research, with initial data release.